Key Responsibilities:
AI Platform & Infrastructure Strategy
- Define and execute the product roadmap for the AI Platform, ensuring alignment with business objectives and evolving AI/ML capabilities.
- Lead the development of LLM and agent-based products, optimizing model distillation, fine-tuning, RAG, and prompt engineering for real-world applications.
- Drive programmatic API development for seamless integration of AI services across products.
- Ensure scalability, reliability, and performance of AI models, leveraging compute-efficient architectures and inference optimizations.
- Collaborate with engineering on MLOps, model monitoring, bias detection, and governance frameworks to ensure responsible AI deployment.
Building Next-Gen AI/ML Capabilities
- Develop strategies for multi-modal AI (text, speech, vision, structured data) to power next-generation AI-driven experiences.
- Work closely with teams to translate cutting-edge ML advancements into scalable, production-grade solutions.
- Establish best practices for model evaluation, explainability, and ethical AI development, addressing challenges like bias, hallucination, and drift management.
Cross-Functional Leadership & Execution
- Partner with engineering, data science, security, and infrastructure teams to build developer-friendly AI tools, model serving pipelines, and inference APIs.
- Align AI initiatives with broader SaaS product strategies, ensuring AI is embedded seamlessly into our platform offerings.
- Own the AI-powered product lifecycle, from concept to deployment, ensuring seamless integration into customer-facing applications.
Customer & Developer-Centric Approach
- Define and track AI performance metrics (latency, accuracy, cost efficiency, trustworthiness) to ensure best-in-class AI experiences.
- Build frameworks for A/B testing, user feedback loops, and human-in-the-loop validation for continuous AI improvement.
- Foster a culture of data-driven decision-making, ensuring AI models deliver tangible business value.
Required Qualifications & Experience:
- 15+ years of product management experience, with 5+ years leading AI/ML platform teams.
- Deep expertise in LLMs, generative AI, model optimization, and AI-driven SaaS products.
- Strong technical understanding of ML model architectures, distillation, fine-tuning, RAG, prompt engineering, embeddings, and inference optimizations.
- Proven ability to build scalable, cloud-based AI platforms with programmatic APIs and developer-friendly tooling.
- Experience working with AI/ML infrastructure (MLOps, model deployment, GPU/cloud scaling, security & compliance).
- Strong leadership skills, with a track record of scaling AI product teams, driving execution, and fostering cross-functional collaboration.
- Excellent communication skills, with the ability to simplify complex AI/ML concepts for business and executive stakeholders.
Preferred Qualifications & Experience:
- Experience with high-scale distributed AI systems and productionizing ML models for enterprise applications.
- Familiarity with regulatory and ethical AI considerations, including bias mitigation and fairness in AI.
- Background in computer science, machine learning, or a related technical field (MBA or advanced degree is a plus).
Why Join PayPal:
- Lead and shape the future of AI-driven core platforms and intelligent automation.
- Work alongside world-class AI/ML, engineering, and product teams solving industry-defining challenges.
- Influence AI adoption at scale, delivering impactful solutions to millions of users.
- Thrive in a fast-paced, innovation-driven environment, where AI and machine learning are at the heart of our strategy.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The U.S. national annual pay range for this role is
$143400 to $285450
Our Benefits:
Any general requests for consideration of your skills, please